| dc.creator | Blanco Mesa, Fabio | |
| dc.creator | León Castro, Ernesto | |
| dc.creator | Merigó, José M. | |
| dc.date | 2020-06-26T00:47:23Z | |
| dc.date | 2020-06-26T00:47:23Z | |
| dc.date | 2019-08 | |
| dc.date.accessioned | 2022-10-18T12:07:32Z | |
| dc.date.available | 2022-10-18T12:07:32Z | |
| dc.identifier | Applied Soft Computing, Volume 81, article 105488, August 2019, pages: | |
| dc.identifier | http://repositoriodigital.ucsc.cl/handle/25022009/1985 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4441619 | |
| dc.description | Artículo de publicación scopus | |
| dc.description | Aggregation operators consist of mathematical functions that enable the combining and processing of different types of information. The aim of this work is to present the main contributions in this field by a bibliometric review approach. The paper employs an extensive range of bibliometric indicators using the Web of Science (WoS) Core Collection and Scopus datasets. The work considers leading journals, articles, authors, institutions countries and patterns. This paper highlights that Xu is the most productive author and Yager is the most influential author in the field. Likewise, China is leading the field with many new researchers who have entered the field in recent years. This discipline has been strengthening to create a unique theory and will continue to expand with many new theoretical developments and applications. | |
| dc.language | en | |
| dc.publisher | Applied Soft Computing | |
| dc.source | https://doi.org/10.1016/j.asoc.2019.105488 | |
| dc.subject | Aggregation operators | |
| dc.subject | Aggregation functions | |
| dc.subject | Bibliometrics | |
| dc.subject | Web of Science (WoS) | |
| dc.subject | VOS viewer | |
| dc.title | A bibliometric analysis of aggregation operators | |
| dc.type | Artículos de revistas | |
